Logistic regression is favorite ground for many interviewers to test the depth of an analyst with respect to their statistical acumen. It has been said that, even if someone understands 1,000 concepts in logistic regression, there would always be a question 1,001 from an interviewer. Hence, it would really be worth building knowledge on logistic regression from its fundamentals in order to create a solid foundation:
- Information value (IV): This is very useful in the preliminary filtering of variables prior to including them in the model. IV is mainly used by industry for eliminating major variables in the first step prior to fitting the model, as the number of variables present in the final model ...
